---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: vedantjumle/indo-ml-final-test-gpt2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# vedantjumle/indo-ml-final-test-gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0791
- Validation Loss: 0.5970
- Train Accuracy: 0.86
- Epoch: 48

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 6.1590     | 5.0940          | 0.01           | 0     |
| 5.0418     | 4.9883          | 0.0133         | 1     |
| 4.9133     | 4.8504          | 0.0333         | 2     |
| 4.7401     | 4.6073          | 0.07           | 3     |
| 4.3767     | 3.9978          | 0.1767         | 4     |
| 3.6892     | 3.2744          | 0.35           | 5     |
| 2.9908     | 2.6567          | 0.4933         | 6     |
| 2.3695     | 2.2079          | 0.6033         | 7     |
| 1.9372     | 1.8126          | 0.66           | 8     |
| 1.5314     | 1.5588          | 0.7133         | 9     |
| 1.2590     | 1.3589          | 0.7333         | 10    |
| 1.0342     | 1.2366          | 0.7433         | 11    |
| 0.8585     | 1.1181          | 0.77           | 12    |
| 0.7366     | 1.0283          | 0.78           | 13    |
| 0.6208     | 0.9584          | 0.7933         | 14    |
| 0.5448     | 0.9084          | 0.8133         | 15    |
| 0.4745     | 0.8591          | 0.8033         | 16    |
| 0.4187     | 0.8293          | 0.83           | 17    |
| 0.3628     | 0.7953          | 0.84           | 18    |
| 0.3299     | 0.7676          | 0.8467         | 19    |
| 0.3072     | 0.7536          | 0.8267         | 20    |
| 0.2794     | 0.7395          | 0.8367         | 21    |
| 0.2370     | 0.7114          | 0.8567         | 22    |
| 0.2203     | 0.6990          | 0.8467         | 23    |
| 0.2104     | 0.6906          | 0.8433         | 24    |
| 0.1838     | 0.6815          | 0.86           | 25    |
| 0.1680     | 0.6633          | 0.8533         | 26    |
| 0.1650     | 0.6629          | 0.8533         | 27    |
| 0.1558     | 0.6536          | 0.8567         | 28    |
| 0.1482     | 0.6499          | 0.86           | 29    |
| 0.1404     | 0.6465          | 0.86           | 30    |
| 0.1340     | 0.6385          | 0.8567         | 31    |
| 0.1226     | 0.6313          | 0.8533         | 32    |
| 0.1212     | 0.6257          | 0.86           | 33    |
| 0.1120     | 0.6220          | 0.86           | 34    |
| 0.1084     | 0.6271          | 0.86           | 35    |
| 0.1043     | 0.6172          | 0.86           | 36    |
| 0.1046     | 0.6173          | 0.86           | 37    |
| 0.0989     | 0.6127          | 0.86           | 38    |
| 0.0969     | 0.6106          | 0.86           | 39    |
| 0.0918     | 0.6161          | 0.8633         | 40    |
| 0.0916     | 0.6062          | 0.86           | 41    |
| 0.0892     | 0.6037          | 0.86           | 42    |
| 0.0822     | 0.6037          | 0.86           | 43    |
| 0.0865     | 0.5968          | 0.86           | 44    |
| 0.0819     | 0.5992          | 0.86           | 45    |
| 0.0847     | 0.5988          | 0.86           | 46    |
| 0.0805     | 0.5971          | 0.86           | 47    |
| 0.0791     | 0.5970          | 0.86           | 48    |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3